A Developer’s Guide to Gemini 3.5 Transcribe

Code tutorial → https://g.dev/cloud/gemini-3-5-transcribe-github Code script → https://g.dev/cloud/gemini-3-5-transcribe-live-github Docs → https://g.dev/cloud/3-5-transcribe-docs Explore how to build speech-to-text applications using Gemini 3.5 Transcribe models and the Google GenAI SDK. Learn the two primary implementation patterns: synchronous batch processing for pre-recorded audio and low-latency streaming over WebSockets via the Live API. From there, explore essential configuration knobs, such as word-level timestamps, multilingual language codes, speaker diarization, and custom vocabulary biasing to produce highly accurate, production-ready transcriptions. Chapters: 0:00 - Intro 0:41 - Synchronous & Streaming APIs 1:03 - Client initialization & Model IDs 1:38 - Synchronous transcription pattern 2:12 - Feature 1: Word-level timestamps 2:28 - Feature 2: Language codes 2:46 - Feature 3: Speaker diarization 2:55 - Feature 4: Custom vocabulary biasing 3:09 - Streaming transcription pattern 4:30 - Recap 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech #GoogleCloudTech #Gemini Speaker: Katie Nguyen Products Mentioned: Gemini Audio, Gemini 3.5 Transcription, Gemini Enterprise